Expanding What Robots Can Learn in the Real World

Roberto Martín-Martín presents a framework for expanding robot learning potential through reusable action spaces, human-guided refinement, and strategic experience collection. The discussion emphasizes safe and efficient real-world interaction, with a focus on mobile manipulation and continual learning paradigms.